U.S. patent application number 09/475534 was filed with the patent office on 2002-06-27 for automated trading exchange system having integrated quote risk monitoring and integrated quote modification services.
This patent application is currently assigned to Chicago Board Options Exchange. Invention is credited to Angell , Richard A., Evora , Gordon D., Kaminsky , Ross G..
Application Number | 20020082967 09/475534 |
Document ID | / |
Family ID | 23888006 |
Filed Date | 2002-06-27 |
United States Patent
Application |
20020082967 |
Kind Code |
A1 |
Kaminsky , Ross G. ; et
al. |
June 27, 2002 |
Automated Trading Exchange System Having Integrated Quote Risk
Monitoring and Integrated Quote Modification Services
Abstract
An automated trading exchange having integrated quote risk
monitoring and quote modification services. An apparatus is
implemented using at least one computer, having memory, and a
processor. The computer is configured to receive orders and quotes,
wherein specified ones of the quotes are contained in a quote
group, and have associated trading parameters such as a risk
threshold. Not all received quotes are required to have trading
parameters as described herein. Preferably, the quote group
contains all the quotes, or a subset of quotes, belonging to an
individual market-maker for a given class of options contracts, or
possibly the quotes of two or more market-makers that have
identified themselves as belonging to a group for the purposes of
risk monitoring and quote modification. The computer typically
generates a trade by matching the received orders and quotes to
previously received orders and quotes, and otherwise stores each of
the received orders and quotes if a trade is not generated. The
computer then determines whether a quote within the quote group has
been filled as a result of the generated trade, and if so,
determines a risk level and an aggregate risk level associated with
said trade. The computer then compares the aggregate risk level
with the market-maker's risk threshold, and if the threshold is
exceeded, automatically modifies at least one of the remaining
quotes in the quote group. The computer may also automatically
regenerate quotes that have been filled.
Inventors: |
Kaminsky , Ross G.; (
Chicago, IL) ; Angell , Richard A.; ( Evanston,
IL) ; Evora , Gordon D.; ( Chicago, IL) |
Correspondence
Address: |
McDonnell Boehnen Hulbert & Berghoff
McDonnell Boehnen Hulbert & Berghoff
300 S. Wacker Dr., Suite 3200
Chicago
IL
60606
US
(312) 913-0001
(312) 913-0002
|
Assignee: |
Chicago Board Options
Exchange
400 S. LaSalle St., 7th Floor
Chicago
60605
IL
|
Family ID: |
23888006 |
Appl. No.: |
09/475534 |
Filed: |
December 30, 1999 |
Current U.S.
Class: |
705/37 |
Current CPC
Class: |
G06Q 40/08 20130101;
G06Q 40/06 20130101; G06Q 40/025 20130101; G06Q 40/04 20130101 |
Class at
Publication: |
705/37 |
International
Class: |
G06F 017/60 |
Claims
Claims
We claim:1. A system for processing trades of securitized
instruments based on security orders and quotes received from
client computers, comprising:at least one server computer
comprising a memory, and a processor, said server computer
configured to perform the steps of:receiving orders and quotes,
wherein specified ones of said quotes belong to a quote group, and
wherein said specified ones of said quotes have associated trading
parameters comprising a risk threshold;generating a trade by
matching said received orders and quotes to previously received
orders and quotes;storing each of said orders and quotes when a
trade is not generated;determining whether a quote having
associated trading parameters has been filled as a result of the
generated trade, and if so, determining a risk level and an
aggregate risk level associated with said trade;comparing said
aggregate risk level with said risk threshold; and,automatically
modifying at least one of the remaining said specified ones of said
quotes in the quote group if said threshold is exceeded.
2. The apparatus of claim 1 further comprising a quote data
structure stored in said first memory, said data structure
containing a plurality of quotes fields and at least one risk
threshold field.
3. The apparatus of claim 2, wherein said plurality of quote fields
comprises a bid quote field and an offer quote field.
4. The apparatus of claim 2, wherein said data structure further
comprises a group indicator field.
5. The apparatus of claim 2, wherein said data structure further
comprises a quote modification increment field.
6. The apparatus of claim 2, wherein said data structure further
comprises a quote regeneration increment field.
7. The apparatus of claim 2, wherein said data structure further
comprises an owner field.
8. A method of modifying quotes in an automated exchange trading
system that receives orders and quotes from remote computers,
matches the orders and quotes to generate trades, and stores orders
and quotes that are unmatched, comprising the steps of:receiving
trading parameters comprising a risk threshold;associating said
trading parameters with specified ones of received
quotes;determining whether a quote having associated trading
parameters has been filled as a result of a generated trade, and if
so, determining a risk level and an aggregate risk level associated
with said trade;comparing said aggregate risk level with said risk
threshold; and,automatically modifying at least one of the
specified ones of received quotes if said threshold is
exceeded.
9. The method of claim 8 wherein the step of determining a risk
level comprises calculating a delta value for the generated
trade.
10. The method of claim 8 wherein the step of determining a risk
level comprises calculating a trading volume for the generated
trade.
11. The method of claim 8 wherein the step of determining an
aggregate risk level comprises determining a net delta.
12. The method of claim 8 wherein the trading parameters further
comprise a time duration, and wherein the step of determining an
aggregate risk level comprises summing the deltas from trades
involving at least a subset of quotes contained in said quote group
that were executed within the time duration.
13. The method of claim 8 wherein the trading parameters further
comprise an integer N, and wherein the step of determining an
aggregate risk level comprises summing the deltas from the most
recent N trades involving at least a subset of quotes contained in
said quote group.
14. The method of claim 8 wherein the step of determining an
aggregate risk level comprises determining a net contract
volume.
15. The method of claim 8 wherein the step of determining an
aggregate risk level comprises determining a weighted sum of
contract volumes.
16. The method of claim 8 wherein the step of determining an
aggregate risk level comprises determining an aggregate volume
quantity.
17. The method of claim 8 wherein the step of automatically
modifying at least one of the specified ones of said received
quotes comprises canceling all said specified ones of said received
quotes.
18. The method of claim 8 wherein the step of automatically
modifying at least one of the specified ones of said received
quotes comprises reducing the quantity associated with the
specified ones of received quotes.
19. The method of claim 8 wherein the step of automatically
modifying at least one of the specified ones of said quotes
comprises revising at least one of the bid and offer values of each
of the specified ones of received quotes.
20. The method of claim 8 wherein the trading parameters comprise a
positive risk threshold and a negative risk threshold.
21. The method of claim 20 wherein the step of comparing the
aggregate risk level with the risk threshold comprises comparing
the aggregate risk level to the positive risk threshold if the
aggregate risk level is positive, and comparing the aggregate risk
level to the negative risk threshold if the aggregate risk level is
negative.
22. The method of claim 8 wherein the step of comparing the
aggregate risk level with the risk threshold comprises comparing
the absolute value of the aggregate risk level to the risk
threshold.
23. The method of claim 8 wherein each of the specified ones of
received quotes are associated with one of a first subgroup and
second subgroup, and wherein the step of automatically modifying at
least one of the specified ones of received quotes in the quote
group comprises reducing the offer values of the quotes in the
first subgroup and raising the bid values of the quotes in the
second subgroup.
24. The method of claim 23 wherein the first subgroup comprises
quotes on call series options and the second subgroup comprises
quotes on put series options, and wherein the aggregate risk is
positive.
25. The method of claim 23 wherein the first subgroup comprises
quotes on put series options and the second subgroup comprises
quotes on call series options, and wherein the aggregate risk is
negative.
26. The method of claim 23 where the amount of said reducing and
raising is determined in response to a modification increment
parameter.
27. The method of claim 8 further comprising the step of
automatically modifying a quote comprises regenerating a quote
having associated trading parameters that has been filled as a
result of the generated trade.
28. The method of claim 27 wherein the step of regenerating a quote
is performed utilizing a regeneration increment.
29. In a system, for processing trades of a security, that includes
a computer that receives orders and quotes, executes a trade by
matching the received orders and quotes, and stores received orders
and quotes for which a trade is not executed, a computer-based risk
monitoring apparatus, comprising:a quote service module that
associates market-maker trading parameters comprising a risk
threshold with at least one received quote; anda broker service
module that communicates with the quote service module, wherein the
broker service module automatically executes trades and provides
corresponding fill reports to said quote service module, and
wherein the quote service module modifies received quotes in
accordance with the trading parameters and the fill reports.
30. In a system for processing trades of securitized instruments,
the system including a computer having a memory and a processor,
said computer being configured to perform the steps of receiving
orders and quotes, generating a trade by matching said received
orders and quotes to previously received orders and quotes, and
storing each of said orders and quotes if a trade is not generated,
a method for managing risk comprising the steps of:identifying
specified ones of said quotes as belonging to a quote
group;associating trading parameters comprising a risk threshold
with specified ones of said quotes;determining whether a quote
having associated trading parameters has been filled as a result of
the generated trade, and if so, determining an aggregate risk level
associated with said trade;comparing said aggregate risk level with
said risk threshold; andautomatically modifying at least one of the
remaining said specified ones of said quotes in the quote group if
said threshold is exceeded.
Description
Specification (Case No. 99,853)
[0001] TO ALL WHOM IT MAY CONCERN:
[0002] Be it known that we, Ross G. Kaminsky, a citizen of the
United States and resident of Chicago, Illinois, Richard A. Angell,
a citizen of the United States and resident of Evanston, Illinois
and Gordon D. Evora, a citizen of the United States and resident of
Chicago, Illinois, have invented certain new and useful
improvements in an
[0003] AUTOMATED TRADING EXCHANGE SYSTEM HAVING INTEGRATED QUOTE
RISK MONITORING AND INTEGRATED QUOTE MODIFICATION SERVICES of which
the following is a specification.
A. Field of the Invention
[0004] The present invention relates to financial trading systems.
More specifically, it is directed to a method and device for
market-maker risk management through automatic quote risk
monitoring and quote modification in an automated trading
system.
B. Description of the Related Art
[0005]
1. Option Trading
[0006] Option contracts are traded publicly on many exchanges
throughout the world. These securities, referred to generally as
"options," convey certain rights to buy or sell an underlying
stock, commodity, or other security at a fixed price for a specific
period of time - until expiration for an American-style option or
at expiration for a European-style option. All option contracts
that trade on U.S. securities exchanges are issued, guaranteed and
cleared by the Options Clearing Corporation (OCC). OCC is a
registered clearing corporation with the SEC.
[0007] The potential loss to the buyer of an option can be no
greater than the initial premium paid for the contract, regardless
of the performance of the underlying stock. This allows an investor
to control the amount of risk assumed. On the contrary, the seller
of the option, in return for the premium received from the buyer,
assumes the risk of being assigned the obligation to buy or sell
the underlying security if the contract is exercised. Therefore,
writing options can lead to large potential exposure.
[0008] Further background information may be obtained from the book
"OPTIONS, Special Concepts and Trading Strategies," The Options
Institute, The Educational Division of the Chicago Board Options
Exchange, Second Edition, McGraw Hill (1995), the contents of which
are incorporated herein by reference.
2. Open Outcry Trading and Automated Exchanges
[0009]
[0010] Many trading systems utilize what is known as an open outcry
method of trading. In the open outcry system, market-makers are
required to make a two-sided market by providing a bid and offer
quote in all option series. The market-makers typically communicate
verbally or visually with contra traders indicating their
willingness to buy and sell various quantities of securities.
Because the market-makers have personal control over the types and
number of contracts traded, they can adjust their trading
strategies as their positions change. In this way, the
market-makers can manage their exposure, or risk, associated with
their holdings by adjusting their quotes to favor trades that would
tend to hedge away unwanted exposure.
[0011] In an automated trading environment, a certain amount of
control is lost when a market-maker has issued quotes in a large
number of option series. The quotes are typically recorded in the
automated and computer-based trading system, and matched up
automatically with orders that enter the system electronically.
With the proliferation of computer trading systems and increased
communication speeds, the rate at which trades may be executed by
an automated system far surpass the rate of trades that occur in an
open outcry system. The speeds are such that the rapidity of trades
may exceed the market-maker's ability to adapt his or her position.
Specifically, one disadvantage of automated trading systems is that
a number of automatic trades may occur within a very short time
that result in an unacceptable risk being assumed by a
market-maker. That is, the trades may occur so rapidly that the
market-maker is unable to withdraw or modify his quotes in a timely
manner.
[0012] There exist software tools that can analyze stock and option
portfolios in close to real time. Market data is provided to the
software analysis tools and used to evaluate the risk associated
with stock and option portfolios. In addition, the tools may
provide recommendations for trades and quotes and automated
submission of those trades and quotes. However, even if a
market-maker utilizes such a computer-implemented automated
position analysis tool to revise or cancel quotes, the software
tools may be unable to act in time given the speed at which an
automated trading exchange system is capable of executing incoming
orders. In particular, one aspect of existing exchange systems is
that transactions are received and processed in the order received.
Thus, even if a market-maker responds immediately using an
automated software tool, the exchange may have a message queue
containing additional orders that will be processed before the
exchange system receives and processes the market-maker's quote
cancellation request.
[0013] The result is that a market-maker who is willing to take on
a predetermined level of risk must limit the number of quotes or
the depth (quantity) of each quote to ensure that rapid trades do
not result in an unacceptable aggregate risk, rather than issuing
quotes having greater depth and breadth (where the filling of a
single quote might reach the market-maker's risk limit). Thus, a
market-maker's limited control over risk management may have the
undesirable effect of hindering the liquidity of the market.
[0014] It would therefore be desirable to have a trading exchange
system and method for automatically canceling, regenerating, or
modifying quotes under certain trading conditions.
Summary of Invention
[0015] A method and apparatus for an automated trading exchange
having integrated quote risk monitoring and quote modification
services is provided. In accordance with a first aspect of the
invention, an apparatus is implemented using at least one computer,
having memory, a processor, and a communication port. The computer
is configured to receive orders and quotes, wherein specified ones
of the quotes are contained in a quote group, and have associated
trading parameters such as a risk threshold. Note that not all
received quotes are required to have trading parameters as
described herein. Preferably, the quote group contains all the
quotes belonging to an individual market-maker for a given class of
options contracts, or possibly the quotes of two or more
market-makers that have identified themselves as belonging to a
group for the purposes of risk monitoring and quote modification.
The computer typically generates a trade by matching the received
orders and quotes to previously received orders and quotes, and
otherwise stores each of the received orders and quotes if a trade
is not generated. The computer then determines whether a quote
within the quote group has been filled as a result of the generated
trade, and if so, determines a risk level and an aggregate risk
level associated with said trade. The computer then compares the
aggregate risk level with the market-maker's risk threshold, and if
the threshold is exceeded, automatically modifies at least one of
the remaining quotes in the quote group. The computer may also
automatically regenerate quotes, that is, automatically issue new
quotes when trades have occurred against previous quotes.
Brief Description of the Drawings
[0016] The objects, features and advantages of the present
invention will be more readily appreciated upon reference to the
following disclosure when considered in conjunction with the
accompanying drawings, in which:
[0017] Figure 1 depicts a preferred embodiment of the quote
modification trading system;
[0018] Figures 2A, 2B, 2C, and 2D show the interconnection of
various software modules associated with the quote risk monitoring
and modification trading system;
[0019] Figure 3 shows a sequence diagram of a preferred embodiment
of the quote modification system; and
[0020] Figure 4 shows a flowchart depicting the method of modifying
quotes.
Detailed Description of the Presently Preferred Embodiment(s)
[0021] With reference to FIG. 1, a preferred embodiment of the
system 100 utilized for trading and quote modification is
described. The system 100 (also referred to herein as a
screen-based trading system, or SBT system) includes a plurality of
computers, which may be one or more workstations, servers,
mainframes, or other computer hardware platforms that provide
sufficient resources to meet the desired trading volume and desired
transaction-processing rate. In the preferred embodiment shown in
FIG. 1, the system includes a number of computer clusters such as
cluster 102 (although only one is depicted in FIG. 1), where each
cluster 102 handles trading for a number of securities, such as one
or more classes of options. In the preferred embodiment, each
cluster 102 is made up of two servers 104, 106. The servers 104,
106 are preferably multiprocessor SUN 4500 servers available from
SUN Microsystems of Palo Alto, California. SUN Enterprise.sup.TM
servers or Starfire.sup.TM servers are a preferable
alternative.
[0022] The servers 104 and 106 in cluster 102 communicate with a
plurality of client servers 110, 112 that are typically located at
remote locations, such as at a brokerage house, but may also be
located in the same facility as the clusters 102. Network 108
facilitates communication between the clusters 102 and the client
servers 110, 112. The network 108 is preferably a private LAN/WAN
configuration, but a public network may be utilized, provided
sufficient redundancies and message security are provided. Two such
client servers 110, 112 are shown in FIG. 1. Each client server
110, 112 may be provided with a predetermined message throughput
rate into network 108, where the throughput rate may be a maximum
rate determined by various parameters, including the volume of
orders sent by the client server 110, 112, the volume of quotes
sent by the client server 110, 112, the number of option series for
which quotes are provided, communication/connection fees paid by
the brokerage house or other entity utilizing the client server
110, 112, the overall capacity of the trading system 100, etc. The
client servers 110, 112 preferably communicate with other elements
of the automated exchange system using a client application server
module 210, as further described below, running on client servers
110, 112.
[0023] Each client server 110, 112 is capable of serving a number
of clients, shown as terminals 114, 116, 118, 120, 122, and 124 in
FIG. 1. The client terminals 114-124 may be "dumb" terminals, stand
alone computing devices (PCs or workstations), or even portable
wireless terminals. The client servers 110, 112 may communicate
with the client terminals 114-124 using a proprietary protocol or
one of many standard public domain protocols. The client servers
110, 112 may include a web server or connect to a separate web
server for processing tcp/ip, http, html, java, and the like, and
provide access to client terminals 114-124 over the Internet in
addition to (or as an alternative to) private LAN/WAN or Virtual
Private Network access. For embodiments that include a webserver,
the web server preferably utilizes common gateway interface scripts
(cgi) to interface with the client application server 210. In
addition to cgi scripts, or as an alternative to cgi, other web
server interfaces and server extensions may be utilized to provide
communication between the web server and the application server
210. The client servers 110, 112 communicate with the users of
terminals 114-124 by way of secure Internet communication protocols
or by private LAN/WAN or VPN communication links. Thus the client
terminals 114-124 may run dedicated proprietary software to
communicate with the client server 110, 112, or may interface with
client servers 110, 112 via a standard web browser. The web browser
may operate using built-in java scripts, or may also include
specialized browser modules that are provided to the client
terminals.
[0024] The automated exchange system 100 is comprised of the
following five logical software modules: Presentation Services
Graphical User Interface (GUI) 130 (FIG. 2A); Application Services
210 (Client Application Server, Gateway) (FIG. 2A); Business
Services 132 (FIG. 2B); External Integration Services 133 (FIG.
2C); and, Infrastructure Services 134 (FIG. 2D).
[0025] With reference to FIG. 2A, the Presentation Services GUI
module 130 is constituted by applications that interact with the
exchange system 100 via the Member Interface (MI) API 135. There
are two types of client applications, those that provide a GUI to
allow user interaction with the system directly and applications
that automate trading functions.
[0026] An SBT (screen-based trading) GUI module 131 is responsible
for displaying the contents of a particular model to the screen and
updating the display if the model's contents change. This module
131 contains several GUI applications, one for each of the major
classes of human actors that use the system 100: traders,
market-makers, clearing firm brokers, and system operators. The
Trader GUI is used by regular traders. It consists of several GUI's
for displaying and entering orders, and market data. The
Market-Maker GUI is an extension of the Trader GUI and is used by
market-makers. It consists of several GUI's for displaying and
entering orders, quotes, and market data. The Clearing Firm Broker
GUI is an extension of the Trader GUI and used by clearing firm
brokers. It consists of several GUI's for forcing the logout of a
market-maker and for setting a maximum order quantity for the
quotes and orders of the clearing firm's market-makers. The system
operation GUI is used by system operators and help desk operators.
The autoquote system 161 runs on the market-maker's work station
and is used by the market-maker to generate quotes for various
option series.
[0027] The Application Services module 210 contains subordinate
modules that forward requests initiated by human or automated
actors, to be executed by the appropriate Business Services
module(s) 132. These applications submit requests to Business
Services components 132, notify clients of business events, and
maintain user-specific views of information in the Business
Services 132. This module also encompasses a Member Interface (MI)
API 135 that provides a single entry point to the system exposing
the applications in the Application Services Module 210 (i.e.,
Trader, Market-Maker). In addition, the Application Services Module
210 maintains instantaneously updated views that reflect the
prevailing state of each actor's information in the Business
Services module 132.
[0028] The Trader Application module 136 has the following specific
responsibilities: submit, cancel, update, and cancel/replace
orders; submit requests for quotes; present the current status of
the trader's orders; present fill and cancel reports; present
Market Best Bids and Offers for selected products; set the trader's
defaults and preferences; present Book Depths for selected
products; and, present underlying quotes/last sales and news
alerts.
[0029] The Market-Maker module 137 inherits the Trader App module's
136 responsibilities and adds the following: submit and modify
market-maker quotes; present requests for quotes; set the
market-maker's defaults and parameters; set autoquote parameters;
submit autoquotes.
[0030] The Clearing Firm Broker module 138 inherits the Trader App
module's 136 responsibilities and adds the following: assume
control of a trader's privileges. A Clearing Firm Broker can force
the logout of a market-maker; set a maximum order quantity for
quotes and orders of the clearing firm's market-makers.
[0031] The BackOffice application 139 is responsible for reporting
order status information. This can include fill reports, cancel
reports and new order notifications. The Operations application 140
has the following responsibilities: start and shutdown the SBT
system; start and stop trading of a product; change the status of a
product's market (pre-open, open, close, halt, etc.); present
logged system events; maintain SBT-specific trader information;
maintain SBT-specific product information; maintain trading
parameters (quote width, minimum market-maker order default size,
required percent of responses to a request for quote (RFQ), maximum
response time to an RFQ, etc).
[0032] The functionality of the Trader 136, Market-Maker 137,
Clearing Firm Broker 138, and Back Office 139 modules is exposed by
a fa.cedilla.ade, the Member Interface (MI) Application Programming
Interface (API) 135. The Member Interface 135 exposes different
subsets of functionality depending on the user that logged on to
the system. The intention behind sharing a common API among the
different trader classes is to allow workstations to service all of
them. Separate API's may alternatively be used for the different
user classes.
[0033] The Member Interface API 135 supports both SBT client
applications and external applications owned by members. Members
use the Member Interface API to link their existing computer
systems to the exchange system 100, to submit orders electronically
and to automate trading. Likewise, market-makers use the API to
submit autoquotes employing their proprietary systems, instead of
the default autoquote application 161 provided by SBT.
[0034] The following system functions are preferably accessible
through the API: session logon and logoff; market state inquiry and
change notification; connection status inquiry and change
notification; order entry, cancellation, and replacement; quote
entry, cancellation, and replacement; RFQ notification; order
status inquiry and fill notification; subscription to product
markets; best market quotes notification; book "depth" inquire and
change notification.
[0035] Referring now to FIG. 2B, the Business Services module 132
contains the core functionality of the automated exchange system
100. It includes components that correspond to the key business
object model entities of the automated trading system such as
members, orders, books, products, quotes, et cetera. In addition,
it includes components to administer and operate the system
100.
[0036] The Order Handling Service module 220 maintains the current
state of all orders persistently. Specific operations may be
exposed directly by Order objects 141, bypassing the Order Handling
Service 220. Logically, Orders are components of this module.
Specifically, the Order Handing Service 220 and Order components
are responsible for: receiving and storing incoming orders (from
SBT clients or TPF 156(FIG. 2C)); forwarding incoming orders to the
Broker module for execution; receiving order state change
notifications from the Broker and Order Book modules and updating
stored orders with this information (the functionality is provided
by exposing Orders, allowing the Broker and Order Book components
to directly update the orders); sending fill reports to originating
traders upon receiving fill notifications from the Broker and Order
Book modules; receiving order cancellation requests and forwarding
them to the Broker and Order Book modules (upon confirmation of a
cancellation, notifying the originating trader of the result of the
request and updating the stored state of the order); and receiving
order cancellation/replacement requests and forwarding them to the
Broker and Order Book modules (upon confirmation of the
cancellation/replacement, notifying the originating trader of the
result of the request and updating the stored state of the
order).
[0037] The Broker Service module 230 is responsible for executing
the following types of orders: limit, market, all or none, fill or
kill, immediate or cancel, stop, stop limit, and spread. Upon trade
execution, the Broker Service 230 is responsible for notifying the
Trade Service module 143 of all the orders matched (all parties to
the trade) in the trade. It is also responsible for notifying the
Order Handling Service (i.e. Orders) 220 and Market-Maker Quote
Service (i.e. Quotes) 240 of the fills.
[0038] The responsibilities of the Order Book Service module 142
are: cooperate with the Broker Service 230 in calculating the
opening price during a product's pre-opening period; acknowledge
that an order was accepted by publishing an event consumed by the
Trader application 136 which originated the order; cancel and
cancel/replace resting orders; upon changes to the top of the book,
publish the new Book Best Bid Offer (BBBO) and last sale.
[0039] The responsibilities of the Trade Service module 143 are:
receive trade notifications from the Broker Service 230; format
trade reports; store trade reports; and forward trade reports to
trade match (via TPF 156).
[0040] The Market-Maker (MM) Quote Service module 240 is
responsible for: receiving requests for quotes (RFQs) from traders;
submitting RFQs to market-makers assigned to the product for which
the quote was requested (by publishing in the RFQ event channel);
receiving and logging market-maker responses to RFQs (market-maker
quotes); upon receiving a market-maker quote, saving it
persistently and submitting them to the Broker Service module 230
for execution; sending fill reports to originating market-makers
upon receiving fill notifications from the Broker and Order Book
modules; canceling or updating a Market-Maker quote upon receiving
a request from the originating market-maker by submitting the
request to the Broker/Order Book; canceling or updating or
regenerating Market-Maker quotes upon receiving a fill report; upon
inquiry, providing the history of the quotes submitted by a
market-maker.
[0041] The Product Service module 144 maintains all product-related
information. In order to perform its responsibilities, the Product
Service module 144 downloads, and preferably caches, product
information from TPF 156 and TIPS 157. The User Service module 260
maintains all user-related information, both specific to SBT and
contained in the Membership System. It provides a unified interface
to SBT components accessing user information, hiding the actual
location of the maintained data, thus simplifying client logic.
[0042] The User Service module 260 maintains the information of
traders, market-makers, clearing firm brokers, operators, help desk
personnel, back-office personnel. In one embodiment, the data is
cached for performance reasons and the data is synchronized from
the TPF 156 source.
[0043] The Trading Session Service module 145 maintains all
business day and trading session-related information and manages
the different states of a trading session, e.g. open, closed, and
halted. Products that are processed/traded in each trading session
are also kept at this service. In order to perform these
responsibilities, the Product Service module 144 downloads trading
session and product information from TPF 156, as well as monitor
events that affect products traded within a session.
[0044] The Product State Service 146 is responsible for
coordinating product state changes for all products, e.g.
pre-opening, opening, trading, halting, closing, and post-closing.
It works closely with the Broker Service 230 to insure that state
changes occur in a timely fashion. The service 146 monitors events
that affect products traded, such as monitoring the underlying
market to detect when the primary exchange opens, closes or halts
trading a product. The Product Configuration Service 147 is
responsible for providing the location of where a product is
processed/traded. This information is primarily used to route
product-specific requests (e.g. orders) for processing. The Order
Status Service 148 provides subscription and notification services
related to orders (i.e., fill reports, cancel reports, order
accepted by book, etc.).
[0045] The Quote Status Service module 149 provides subscription
and notification services related to quotes (i.e. fill reports,
deletion reports, etc.) The service 149 preferably replaces the use
of event channels for quote status reporting, providing a more
secure mechanism for status delivery. The Market Data Service 150
maintains a current snapshot of market data, in addition to
publishing market summary data. The module also provides an
interface to clients to query historical market data.
[0046] The Best Quote module 151 is responsible for calculating the
market best (aggregate quantities of buy and sell orders at the
best price) for each product and sending them to TPF 156 (which in
turn forwards them to the Options Price Reporting Authority) for
public dissemination. In addition, it is responsible for
calculating and disseminating the National Best Bid Offer (NBBO).
In order to provide this information, the Best Quote module 151
subscribes to the event channel referred to herein as the Best of
the Rest channel to obtain the current best quote from competing
exchanges. The Best Quote module 151 then determines the source of
the NBBO, whether it is from the present exchange or a competitor,
and publishes the results to the Best Quote event channel, of which
the TPF Adapter 152 is a subscriber.
[0047] Referring now to Figure 2C, the External Integration
Services module 133 includes adapters 152, 153, 154, and 155, that
map the interaction paradigms of external systems to the ones in
the system 100 architecture. The adapter modules "adapt" (or
"wrap") the native legacy interfaces to interfaces appropriate in
the SBT environment. The TPF (Transaction Processing Facility)
module 152 contains the adapter to allow SBT and TPF 156 to
interact. TPF data is received, remoduled, and broadcast/delivered
to the appropriate components within SBT. Conversely, SBT data is
received, either through direct invocation or event consumption,
remoduled, and sent to TPF 156 using its native interface.
[0048] The Membership Adapter 154 translates requests for member
information received from SBT components into requests to the
Membership System 159 and returns the results after
re-formatting.
[0049] The TIPS Adapter 155 subscribes to TIPS 157 to receive the
external market data needed in the SBT environment, including
underlying market data and the Best of the Rest of options listed
in SBT. The Events Service (FIG. 2D) notifies the TIPS Adapter 155
of consumer subscriptions so that it can propagate these
subscriptions back to TIPS 157. Once subscribed, the TIPS Adapter
155 reformats the market data received from TIPS 157 and publishes
it for consumption by SBT components. Another responsibility of
this adapter 155 is to publish underlying product state events when
external markets change their states, for instance when they open,
halt, close, etc.
[0050] The Trade Match Adapter 153 receives SBT data and forwards
it to TM 158. The TM Adapter 153 handles the following data flows:
Trade Report (SBT to TM) SBT reports all the parties to a trade to
TM 158.
[0051] Referring now to FIG. 2D, the Infrastructure Services module
134 contains commercial "off-the-shelf" software and extended
infrastructure services that provide enterprise-wide support to
various other external systems. One mechanism by which the SBT
system components interact with each other is by supplying and
consuming events, implemented as a publish/subscribe pattern. The
following list provides a brief description of the event
flows/notification services (messaging services) shown in FIG.
2D.
[0052] .multidot.RFQ - the Market-maker (MM) Quote Service supplies
RFQ events consumed by the Market-Maker Application.
[0053] .multidot.BBBO - the Order Book supplies Book Best Bid Offer
(BBBO) events consumed by the Best Quote Service.
[0054] .multidot.NBBO - the Best Quote Service supplies National
Best Bid Offer (NBBO) events consumed by the Trader Application,
and Market Data Service.
[0055] .multidot.Current Market - the Best Quote Service supplies
Current Market Best events, containing a product's best quote,
consumed by the Market Data Service and Trader Application. The
best quote indicates if the exchange has the best quote.
[0056] .multidot.Best of the Rest - the TIPS Adapter component
supplies best-of-the-rest events consumed by the Best Quote
Service.
[0057] .multidot.Last Sale - the Trade Service supplies last sale
events consumed by the Market Data Service 150 and TPF Adapter
152.
[0058] .multidot.Last Sale Summary - the Market Data Service 150
component supplies last sale summary events consumed by the Trader
application.
[0059] .multidot.Logging - the Logging Service Proxy component
supplies Log Service events consumed by the Log Service
component.
[0060] .multidot.System Management - the Foundation Framework
supplies System Management events consumed by the System Management
component.
[0061] .multidot.Instrumentation - the Instrumentation Service
component supplies Instrumentation events consumed by both the
System Management component and the Log Service component.
[0062] .multidot.Underlying Ticker - the TIPS Adapter supplies
Underlying ticker events (prices, quotes, last sales, news alerts)
consumed by the Trader Application and the Product Service.
[0063] .multidot.Underlying Recap - the TIPS Adapter supplies
Underlying summary events (high and low prices, volume) consumed by
the Market Data Service and Trader Application.
[0064] .multidot.Trade Report - the Trade Service supplies Trade
Report events consumed by the TPF Adapter 152.
[0065] .multidot.Product Status - the Product Service 144 and
Product State Service 146 supply Product Status events (State,
Price Adjustment, and Update) events consumed by the Trader
application, Order Handling Service 220, and TPF Adapter 152.
[0066] .multidot.Trading Session Status - the Trading Session
Service 145 supplies Trading Session State events consumed by the
Operations Application140 and Help Desk application 160.
[0067] .multidot.End of Session Summary - the Trading Session
Service supplies End of Trading Session Status events.
[0068] .multidot.Opening Price - The Broker Service module 230
supplies Opening Price events consumed by the Trader Application
136.
[0069] .multidot.Control - the Operations 140 and Help Desk 160
applications supply Control events, possibly through the System
Management component, consumed by Business Services 132 and
External Integration Services 133 components.
[0070] .multidot.Order Status - the Order Handling Service 220
(Order) supplies Fill Report, Cancel Report, Updated Order, New
Order, and Order Accepted by Book events consumed by the Order
Status Service 148, and TPF Adapter 152.
[0071] .multidot.Quote Status - the MM Quote Service 240 (Quote)
supply Fill Report, and Delete Report events consumed by the Quote
Status Service 149.
[0072] In accordance with a preferred embodiment, there are four
major tiers of the application software. The business services 132
handle all the SBT order matching, execution and reporting
functionality. It provides the repository for all SBT information
data. The application services 210 handle the application
presentation and act as the application front end to the business
services. Different views of the business services 132 and
collaboration of business objects are grouped together and are
presented to the user based on logon authentication and
authorization level. The two tiers communicate to each other by two
supported tiers: the infrastructure services 134 and external
integration services 133. The infrastructure services 134 provide a
seamless integration between the application services 210 and
business services 132. The external integration services 133
provide the access to the external system.
[0073] With reference to FIG. 3, a sequence diagram 200 for a
preferred embodiment of the automated exchange system 100 is shown.
The system 100 includes a client application server 210, an order
handling service module 220, a broker service module 230, a quote
service module 240, a user service module 260, and quote objects
250 and 252. The service modules 220, 230, 240, 260 and objects
250, 252 are preferably software modules running on clusters 102,
or on one or more interconnected computers. The software modules
are preferably written in an object-oriented programming language
and are compiled to run on the clustered computers 102. Preferably,
the software utilizes the C++ language, the Java programming
language, or other object-oriented language. Alternatively, any
suitable software language may be used to implement the system, as
will be understood by one of ordinary skill in the art. The modules
also interact with a database program used for storing data and
other system and user information. In the preferred embodiment an
Oracle database system is used.
[0074] The client application server 210, as discussed above, runs
on client servers 110, 112, and provides an interface to one or
more clients. The client server 110, 112 may include one or more
application modules, depending upon the intended users of the
servers 110, 112. For example, the client servers 110, 112
preferably include at least one of a market-maker application, a
trader application, a back-office application, or a member
interface. The client servers 110, 112 also preferably utilize a
user authentication and role-based security model to control access
to the various application modules.
[0075] The client server 110, 112 may also include modules such as
a help desk application, an operations application, and a Clearing
Firm Broker (CFB) module. The CFB module may be configured to allow
a Clearing Firm to set maximum volume limits on a per-class basis.
The Help Desk module is preferably enabled for use on client
servers that provide connectivity to exchange management personnel.
The Help Desk provides a utility to force a user to logout of the
system.
[0076] The order handling service 220 forwards orders to the
appropriate broker service module 230 that handles the class of
options to which the individual orders relate. If the broker
service module 230 cannot execute the order immediately, it routes
it to the order book service module, which maintains the current
state of all pending orders and quotes. The order handling service
module 220 receives order information from various sources,
including brokers, traders, market-makers, etc. The orders may
enter the system from a client application server 210 or through an
alternative interface such as TFP adapter 152, which is a
connection that allows a pre-existing automated order handling
system such as TPF system 156, to access the present system.
[0077] The broker service module 230 is responsible for executing
various types of orders, including limit, market, all or none, fill
or kill, immediate or cancel, stop, stop limit, and spread orders.
Preferably, there are numerous broker service modules 230 running
on the exchange server 104, or on the interconnected computers in
the cluster 102, where each broker service module 230 handles
trades for a subset of products offered by the exchange. For
example, there is preferably a broker service module 230 for each
class of option contracts. The broker service module 230 thus
matches incoming orders to other orders or to quotes supplied by
market-makers to complete a trade, indicated by line 282 in Figure
3.
[0078] The broker service module 230 also receives quotes from the
quote service 240, discussed below. The broker service module 230
attempts to execute a trade 282 by matching incoming quotes to
orders or to other quotes stored by the order book service module
142 in the order book. Note that for purposes of trade execution
282, quotes are treated by the exchange system 100 as if they were
orders. Thus, when the broker service module 230 receives a quote
that it cannot match to an existing order or quote, it sends the
quote to the order book for storage with other unfilled quotes and
orders. Preferably, quotes differ from regular orders in that a
quote may be two sided, having a bid and an offer price, and that
each market-maker may only have one quote per product in the
system.
[0079] To facilitate the order matching process of trade execution
282, the broker service module 230 has direct access to orders
stored in the order book by the order book service module 142.
Preferably, when the incoming order is matched to an existing quote
supplied by the quote service module 240, the broker service module
230 provides the quote service module 240 with details of the
trade.
[0080] The quote service module 240 manages the quotes supplied by
market-makers via client application service module 210. The quote
service module 240 submits the quotes to the broker service module
230 for execution. The quote service module 240 ensures that each
individual market-maker has only one quote per product in the
system at any given time. When a market-maker enters a new quote on
a product for which he already has an outstanding quote, the quote
service module preferably determines whether there is already an
existing quote in the system for that market-maker and, if so,
informs the broker service module 230 that the pre-existing quote
is to be cancelled. The quote service module 240 submits the new
quote to the broker service module 230 only after it has received
acknowledgement from the broker service module 230 that the
pre-existing quote has been cancelled.
[0081] The broker service module 230 issues fill reports to notify
various other modules, and ultimately the trading entities, that
the trade was executed. Upon notification of a fill 284 from the
broker service module 230 (or the order book module), the quote
service module 240 informs the quote object 250. In turn, the
market-maker is notified of the fill via the exchange's reporting
system. The quote service module 240 also cancels or updates a
market-maker quote upon receiving a request from the originating
market-maker by submitting the request to the broker service 230.
The quote service module performs this by first informing broker
service module 230 that the pre-existing quote has been cancelled.
The broker service module 230 then removes the quote from the order
book and confirms to the quote service 240 that the quote has been
cancelled. The quote service 240 then submits the new quote (if one
exists) to the broker service module 230.
[0082] With respect to FIG. 3, a preferred sequence of events and
messages will be described. Market-Makers log into a client
application server module 210 and access the user service module
260. The market-maker communicates with the user service module 260
through a terminal, such as a workstation or wireless handheld
unit. As shown by line 270, trading parameters, or quote
parameters, are sent to the user service module 260. Upon
initialization of the quote service, or upon login of a new
market-maker, various trading parameters are provided to the quote
service module 240 as shown by line 271. The trading parameters may
include a risk threshold, a quote regeneration indicator, a quote
regeneration increment, a quote modification indicator, and a quote
modification increment. The parameters may include numerous sets of
thresholds, indicators, and increments, preferably one such set for
each class for which the market-maker is providing quotes.
[0083] The quote service module 240 receives quotes from
market-makers as shown by line 272, and provides these quotes to
the quote objects 250, 252, as shown by update lines 273, 274, and
to the broker service module 230 as shown by line 276. As mentioned
above, the quote service module 240 will not forward updated quotes
(as opposed to new quotes) to the broker service module 230 before
first canceling old quotes.
[0084] Orders received by the client application server 210 are
routed to the order handling service 220 as shown by line 278. The
order is then forwarded to the appropriate broker service 230 as
shown by line 280. The broker service module 230 attempts to
execute every order or quote received with the best order (or
quote) in the book as shown by line 282. When a trade is executed,
a fill report is issued to the quote service module 240 as shown by
line 284. The quote service module 240 then analyzes the trade and
determines whether the market-maker's risk threshold has been
exceeded, as shown by line 286. The threshold test will be
described in further detail below. A fill report is sent to the
quote object 250 as shown by line 288. The quote object 250 then
informs market-maker of the fill through the use of a trade report
service module (not shown).
[0085] In addition, at steps 286 and 287, the quote service module
may modify quotes in response to the trade in accordance with the
market-maker's trading parameters, as discussed below. The quote
service module then reports the new quotes to the broker service
module 230 as shown by line 290. The broker service 230
acknowledges the quote updates as shown by line 292. If the broker
service 230 has already processed additional trades against the
original quote, then the broker service module 230 would respond
with a "too late to cancel" message. Once the update acknowledge
has been received, the quote service module 240 updates the quote
objects 250, 252, as shown by lines 294, 296. The quote objects
then inform the market-maker that its quotes have been updated.
[0086] Risk Measurements and Risk Thresholds
[0087] In a preferred embodiment of the automated trading system
100 having integrated order modification and quote risk monitoring,
the aggregate risk of a market-maker's recent trades is calculated
after each trade. The measurement preferably includes either
calculating an equivalent stock position, i.e., a net delta (by,
for example, summing delta values for all contracts traded by the
market-maker associated with the option series in the class), or
calculating a net gamma, theta, or vega.
[0088] In particular, the aggregate risk measurement is preferably
the net delta of all the trades for a specific market-maker or a
designated group of market-makers in a given class in a given
period of time. The quotes in a given class submitted by a
market-maker (or a group of market-makers) are referred to herein
as a quote group. The rules for delta calculations are as listed
below:
[0089] Calls (delta value is positive)
[0090] Market-maker selling
[0091] Market-maker position will be Negative Delta
[0092]
[0093] Market-maker buying
[0094] Market-maker position will be Positive Delta
[0095]
[0096] Puts (delta value is negative)
[0097] Market-maker selling
[0098] Market-maker position will be Positive Delta
[0099]
[0100] Market-maker buying
[0101] Market-maker position will be Negative Delta
[0102]
[0103] The aggregate risk net delta is defined as:
[0104] ,(1)
[0105] which is the summation for i trades of the product of S, the
sign of the trade, where S is positive when a market-maker buys and
negative when a market-maker sells, (delta), which is rate of
change of the price of the individual series with respect to the
stock, and ranges from 1.0 to 0 for puts and 0 to 1.0 for calls, U,
which is the unit of trade, i.e. the number of shares, and K, the
number of contracts traded by the market-maker.
[0106] The aggregate risk measurement is preferably based on the
net delta .sub.NET for the entire class of options, which is the
sum of all the deltas for a given market-maker's trades in all
series of a class. The delta contribution for each trade is
calculated every time a trade occurs for any series in the class.
The aggregate risk is then calculated by summing delta
contributions from only the most recent trades. The values for the
theoretical deltas .sub.i are preferably obtained by an autoquote
system (not shown) associated with the exchange system 100, and
more particularly with the business services package 132.
[0107] Autoquote systems provide pricing information, and
specifically theoretical delta values .sub.i, using well-known
algorithms that utilize standard parameters, as is understood to
those of skill in the art. Most of the parameters associated with
calculating an individual series delta value are objective data,
such as the date, strike price, the price of the underlying
security, etc. Other autoquote parameters have acceptable default
values that may be used, such as using the broker loan rate for the
interest rate, etc. One parameter that may be more subjective among
individual market-makers is the volatility parameter. Thus, the
system 100 may be designed such that each quote submitted by a
market-maker includes a volatility field to be used by the system
in determining the individual theoretical delta value .sub.i. The
theoretical delta value .sub.i may then be calculated either as
part of the threshold test, or may be periodically updated at a
rate sufficient to provide a fairly accurate delta value .sub.i. In
this way, the system 100 provides the market-maker with further
control over the quote risk monitoring system.
[0108] Because the exchange quote modification service is intended
to address increased risks associated with a rapid sequence of
trades, older trades need not be included because the market-maker
has had an opportunity to manually intervene and modify his quotes.
Thus, the aggregate risk measurement may be based on the last N
trades, where N is a trading parameter specified by the
market-maker, or may be based on trades occurring within a specific
time frame. The duration of the time frame may be specified by the
market-maker by providing a time window parameter t.sub.K, which is
included as a trading parameter. Alternatively, a default value for
t.sub.K may be used.
[0109] Alternatively, the risk threshold and risk measurement may
include an aggregate gamma measurement. Gamma is known to those of
skill in the art to be the rate of change of the delta parameter
with respect to the rate of change of the underlying security, such
as the stock. An aggregate gamma measurement provides an indication
of the rate at which an aggregate delta measurement will change.
Net gamma values are negative when a market-maker is a net seller
of contracts, and positive when a market-maker is a net buyer of
contracts. As a further alternative, either theta, which is the
rate at which option prices change over time, or vega, which is the
change in an option contract that results from a change in its
volatility, may be included.
[0110] The market-maker may provide a single threshold .sub.NETMAX
such that if the absolute value of the aggregate risk exceeds the
threshold, then the quotes are modified according to the rules set
forth below. The market-maker may also provide positive and
negative thresholds .sup.+.sub.NETMAX and .sup.-.sub.NETMAX to
accommodate a market-maker's pre-existing risk bias.
[0111] In an alternative preferred embodiment, the market-maker's
risk is determined by calculating the net contract volume traded
within a specified time. The net contract volume K.sub.NET may be
calculated by using equation (1) above, with the exception that the
delta value is replaced by the sign of , or +.sub.-1, where calls
are positive 1, and puts are negative 1:
[0112] , for each trade, i. (2)
[0113] The result is that the volume of each trade is treated as a
positive or negative value, depending upon the nature of the trade
selling calls and buying puts have negative contributions, and
buying calls and selling puts have positive contributions. The sum
of the trades is then calculated to provide a net difference
between the number of short calls plus long puts and long calls
plus short puts. Thus, the market-makers may specify a threshold in
terms of a maximum net contract volume offset, K.sub.NETMAX (or
positive and negative thresholds K.sup.+.sub.NETMAX and
K.sup.-.sub.NETMAX to accommodate a market-maker's pre-existing
risk bias). As stated above, the system may be configured to also
allow the market-makers to specify a time window parameter t.sub.K
that specifies which trades should be included in the risk
calculation. Thus, only the contracts K that have been executed
within the previous t seconds will be included in equation 2.
Alternatively, the system may be configured to specify i, the
number of previous trades to include in the risk
calculation..sup.
[0114] In still further embodiments, the aggregate risk measurement
may be simplified by calculating the total number of put or call
contracts (or deltas) that have been sold or bought within a given
time frame or within that last N trades. Thus, for example, when a
market-maker has just sold a put, the quote service module 240 may
calculate the total number of puts sold (or the delta due to all
the puts sold) within the given trading window and compare it to a
threshold. If the next trade is a call purchase, then the system
would calculate the contracts or deltas for the calls purchased.
Thus, if any of the four aggregate volume quantities (buying calls,
selling calls, buying puts, selling puts) exceeds a threshold
(within a certain time period, or certain number of trades), the
quote modification module 340 modifies the quotes appropriately.
Alternatively, the quote service module 240 may calculate the total
calls bought plus puts sold, and the total calls sold plus puts
bought, and notify the quote modification module 340 if either of
these aggregate values exceeds the threshold. As a further
alternative, the quote service module may use a weighting scheme to
calculate aggregate values described above. Specifically,
in-the-money options (options with intrinsic value) may be weighted
more heavily than at-the-money or out-of-the-money options. In one
preferred method, the in-the-money options are weighted with a
factor of two, at-the-money options are weighted with a factor of
one, and out-of-the-money options are weighted by a factor of one
half. These simplified risk measurement and threshold tests perform
adequately due to the nature of trading activities that typically
result in large risk exposure.
[0115] It should also be noted that the market-makers may be
grouped together for purposes of risk exposure analysis. That is,
the total risk may be calculated based on the trades of one or more
market-makers. The market-makers provide a group identification
parameter(s) indicating which other market-makers' trades should be
included in the risk calculation. In this manner, market-makers
acting in concert on behalf of a single organization may coordinate
their quote modification.
[0116] Automatic Quote Modification
[0117] The quote service module 240 of the exchange system 100
includes a quote modification service module 340. The quote
modification service module 340 may be implemented as part of the
quote service module 240, or may be a separate service module. It
may also take the form of a separate quote factory module for
generating new instantiations of quote objects. The quote
modification service module 340 performs quote modification by
preferably automatically revising, canceling, or regenerating
quotes. The quote modification service module 340 resides on the
exchange system computer 104, 106, or computer cluster 102. The
quotes are modified by the exchange system in an automatic manner
that does not require further input from the market-maker in the
form of quote cancellation requests and submission of new quotes by
the market-maker or his computer. In this way, the exchange system
performs quote modification immediately and without the
transmission delays inherent in communication systems and without
delays associated with processing queued cancellation requests
received from a remote location.
[0118] If the quote service module 240 determines that the
threshold(s) have been exceeded, the quote service module 240
determines revised quotes and forwards them to the broker service
module 230 and the quote objects 250, 252. The revised quotes can
take numerous forms. In a first embodiment, the quote service
module 240 revises quotes by canceling all outstanding quotes in
the class, thereby preventing any further trades from executing and
giving the market-maker time to provide revised quotes. In this
embodiment, the quote service module 240 sends quote update
messages 290 in the form of cancellation messages to the broker
service module 230. The broker service 230 then removes those
quotes from the electronic book. Because the threshold test is
performed by the exchange system 100 after each trade, the
cancellation messages are therefore preferably processed before any
further trades can be executed. This is possible because the
cancellation requests are not sent from a remote node on a wide
area network, such as a market-maker's computing platform, but are
generated by the exchange system 100. This provides the advantage
of eliminating a cancellation message queue, as would be used when
sending cancellation requests from a remote node, thereby improving
quote update times and providing risk management.
[0119] In a second embodiment, the quote service module 240 revises
quotes by reducing the quantity associated with the existing quotes
in the class thereby reducing the amounts of potential further
trades and reducing the market-maker's exposure to more risk. The
market-maker may specify the amount of the volume decrease by way
of an increment value. In this embodiment, the quote service module
240 sends quote updates 290 by first sending quote cancellation
messages to the broker service module 230, and after
acknowledgment, sending the revised quotes to the broker service
module 230 for execution or booking. Again, because the threshold
test is performed by the exchange system 100 after each trade, the
cancellation messages are therefore preferably processed before any
further trades can be executed. As above, this is possible because
the cancellation requests are not sent from a remote node on a wide
area network, such as a market-maker's computing platform, but are
generated by the exchange system 100.
[0120] In a third embodiment, the quote service module 240 revises
quotes by decreasing the bid and offer values of some quotes and
increasing others in an attempt to cancel some of the risk already
assumed by the market-maker. The quote service 240 does this by
automatically adjusting quotes to favor trades that will tend to
provide offsetting risk. Specifically, if the threshold
(K.sub.NETMAX or .sub.NETMAX) has been exceeded by a high
positive-valued net delta (or K), then the net delta (or K) may be
offset by trades having a negative delta (or K). As set forth
above, those trades would include selling calls and buying puts.
Similarly, if the threshold has been exceeded by a high
negative-valued net delta (or K), then the aggregate risk may be
offset by trades having a positive delta (or K), or by selling puts
and buying calls. Of course, to produce the desired trades, the
lowering of offer values of quotes will tend to result in more
selling activity by the market-maker, and the raising of bid values
will result in more buying activity by the market-maker. In this
embodiment, the modification increment is specified by an increment
value. As in the previous embodiment, the quote service module 240
sends quote updates 290 by sending quote cancellation messages to
the broker service module 230, and after acknowledgment, sending
the revised quotes to the broker service module 230 for execution
or booking. Again the automated risk monitoring system and quote
modification service of system 100 provides advantages in that the
market-maker need not cancel previous quotes and submit new quotes
while still being exposed to the possibility of further trades
being executed.
[0121] The quote service 240 may also modify quotes by regenerating
the just-filled quote. This may be performed even if the
market-maker's risk threshold has not been exceeded. The
market-maker is able to specify quote regeneration parameters via
client application server 210 that are stored in the user service
module 260. The parameters specify which products are enabled for
quote regeneration, and the extent to which the quotes are to be
regenerated. The market-maker may therefore specify, on a
product-by-product basis, how many times the quotes are to be
regenerated after each quote has been filled. This is referred to
herein as the regeneration number parameter. The market-maker may
also specify whether the regenerated quotes are to have the same
bid and offer values, or are to be backed-off from the previous
trade. This parameter is referred to herein as the regeneration
increment. That is, for a two-sided quote, if the market-maker has
just sold a quantity of contracts at his offer price, the
regenerated quote may have a higher offer value. Preferably the bid
value is also raised accordingly to maintain a desired or required
spread in bid and offer quotes. If, on the other hand, the
market-maker has just bought a quantity of contracts at his bid
price, the regenerated quote may have a lower bid value. The
market-maker also has the option of specifying on a per-class basis
the values of the regeneration number parameter and the
regeneration increment parameter. The quote regeneration is
preferably not performed if the market-maker risk threshold has
been exceeded, unless the market-maker has specifically selected
quote revision in the event the risk threshold has been
exceeded.
[0122] With reference to FIG. 4, the method of quote modification
300 will be described. Upon execution of a trade at step 310, the
quote service module 240 at step 320 checks to see whether the
individual market-maker's risk threshold has been exceeded. As
mentioned above, the risk measurement and threshold test may be
performed using a variety of methods, and certain market-makers'
trading activities may be combined for the purposes of risk
exposure. If the threshold has not been exceeded, then at step 330
the quote service module 240 preferably checks to see whether the
market-maker whose quote has been executed has indicated the desire
to have his quotes regenerated. If not, then the process has
completed. In the event that the result of either inquiry 320, 330
is affirmative, then the quote service 240 modifies the quotes with
the quote modification module 340 as described above.
[0123] Quote modification module 340 includes quote regeneration
module 350 and cancel or revise quote module 360. As mentioned
above, the quote modification module 340 may be integral to quote
service module 240, or may be included in a quote factory module,
or may be a separate service module. The quotes are regenerated,
cancelled, or revised, for example as described above, and
submitted as shown in step 370 to the broker service module 230 for
execution.
[0124] Preferred embodiments of the present invention have been
described herein. It is to be understood, of course, that changes
and modifications may be made in the embodiments without departing
from the true scope of the present invention, as defined by the
appended claims. The present embodiment preferably includes logic
to implement the described methods in software modules as a set of
computer executable software instructions. A Central Processing
Unit ("CPU"), or microprocessor, implements the logic that controls
the operation of the transceiver. The microprocessor executes
software that can be programmed by those of skill in the art to
provide the described functionality.
[0125] The software can be represented as a sequence of binary bits
maintained on a computer readable medium including magnetic disks,
optical disks, and any other volatile or (e.g., Random Access
memory ("RAM")) non-volatile firmware (e.g., Read Only Memory
("ROM")) storage system readable by the CPU. The memory locations
where data bits are maintained also include physical locations that
have particular electrical, magnetic, optical, or organic
properties corresponding to the stored data bits. The software
instructions are executed as data bits by the CPU with a memory
system causing a transformation of the electrical signal
representation, and the maintenance of data bits at memory
locations in the memory system to thereby reconfigure or otherwise
alter the unit's operation. The executable software code may
implement, for example, the methods as described above.
[0126] It should be understood that the programs, processes,
methods and apparatus described herein are not related or limited
to any particular type of computer or network apparatus (hardware
or software), unless indicated otherwise. Various types of general
purpose or specialized computer apparatus or computing device may
be used with or perform operations in accordance with the teachings
described herein.
[0127] It should be understood that a hardware embodiment may take
a variety of different forms. The hardware may be implemented as an
integrated circuit with custom gate arrays or an application
specific integrated circuit ("ASIC"). Of the course, the embodiment
may also be implemented with discrete hardware components and
circuitry. In particular, it is understood that the logic
structures and method steps described herein may be implemented in
dedicated hardware such as an ASIC, or as program instructions
carried out by a microprocessor or other computing device.
[0128] The claims should not be read as limited to the described
order of elements unless stated to that effect. In addition, use of
the term "means" in any claim is intended to invoke 35 U.S.C.
.sctn.112, paragraph 6, and any claim without the word "means" is
not so intended. Therefore, all embodiments that come within the
scope and spirit of the following claims and equivalents thereto
are claimed as the invention.
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